Converge to Surprise: Evolutionary Self-supervised Image Clustering
cs.LG
Submitted: 2026-07-08
Updated: 2026-09-22
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- Unsupervised Representation Learning by Predicting Image Rotations
- VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
- An intuitive proof of the data processing inequality
- Learning deep representations by mutual information estimation and maximization
- The Effectiveness of Data Augmentation in Image Classification using Deep Learning
- Evolution Strategies as a Scalable Alternative to Reinforcement Learning
- Notes on Kullback-Leibler Divergence and Likelihood
- Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
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